Connect Biopharma Holdings (CNTB) Accumulated Expenses (2023 - 2026)
Connect Biopharma Holdings (CNTB) recorded Accumulated Expenses of $13.89 million in Q2 2026, up 75.1% from $7.93 million a year earlier and up 12.6% from the prior quarter.
Connect Biopharma Holdings (CNTB) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, Connect Biopharma Holdings reported Accumulated Expenses of $11.16 million, up 43.0% from FY2024.
- Across earlier years, Accumulated Expenses came in at $7.8 million in FY2024 (-17.7%) and $9.48 million in FY2023.
- The Q2 2026 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2023.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with growth averaging 42.7% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $12.33 million (Q1 2026), $11.16 million (Q4 2025) and $8.93 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Connect Biopharma Holdings | 42.82 Mn | -133.85 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.89 Mn |
| Mar 31, 2026 | 12.33 Mn |
| Dec 31, 2025 | 11.16 Mn |
| Sep 30, 2025 | 8.93 Mn |
| Jun 30, 2025 | 7.93 Mn |
| Mar 31, 2025 | 7.24 Mn |
| Dec 31, 2024 | 7.80 Mn |
| Dec 31, 2023 | 9.48 Mn |
Connect Biopharma Holdings Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CNTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CNTB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CNTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();